Principles of Random Walk pp 343-394 | Cite as

# Recurrent Random Walk

Chapter

## Abstract

The first few sections of this chapter are devoted to the study of aperiodic one-dimensional recurrent random walk. is a general theorem, valid for will be shown to be

^{1}The results obtained in Chapter III for two-dimensional aperiodic recurrent random walk will serve admirably as a model. Indeed, every result in this section, which deals with the existence of the potential kernel*a*(*x*) =*A*(*x*,0), will be*identically the same*as the corresponding facts in Chapter III. We shall show that the existence of$$a\left( x \right) = \mathop {\lim }\limits_{n \to \infty } \sum\limits_{k = 0}^n {\left[ {{P_k}\left( {0,0} \right) - {P_k}\left( {x,0} \right)} \right]} $$

*every recurrent random walk*, under the very natural restriction that it be aperiodic. Only in section 29 shall we encounter differences between one and two dimensions. These differences become apparent when one investigates those aspects of the theory which depend on the asymptotic behavior of the potential kernel*a*(*x*) for large |*x*|. The result of P12.2, that$$\mathop {\lim }\limits_{n \to \infty } \left[ {a\left( {x + y} \right) - a\left( x \right)} \right] = 0,y \in R$$

*false*in section 29*for aperiodic one-dimensional recurrent random walk with finite variance*.## Keywords

Random Walk Green Function Simple Random Walk Finite Variance Equilibrium Charge
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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## Copyright information

© Frank Spitzer 1964